Edoardo Mainini

516 citations
29 papers · 291 · h-index 10

Impact in

Papers in

Edoardo Mainini

26 papers receiving 264 citations

Peers

Edoardo Mainini
Comparison fields: 5 of 42
  • Modeling and Simulation 75
  • Applied Mathematics 107
  • Mathematical Physics 71
  • Numerical Analysis 34
  • Computational Theory and Mathematics 98
Replace Lauri Oksanen with:
Lauri Oksanen United Kingdom
Hafedh Rguigui Tunisia
Yi Yan United States
Éric Soccorsi France
A. Belleni‐Morante Italy
Inwon C. Kim United States
Rafael Orive Spain
Jung Rye Lee South Korea
Matías G. Delgadino United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Edoardo Mainini

Since Specialization
Citations

This map shows the geographic impact of Edoardo Mainini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Edoardo Mainini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edoardo Mainini more than expected).

Fields of papers citing papers by Edoardo Mainini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edoardo Mainini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Edoardo Mainini. The network helps show where Edoardo Mainini may publish in the future.

Co-authors

The 18 scholars most cited alongside Edoardo Mainini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Edoardo Mainini Line = papers co-authored together Edoardo Mainini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201040
2 201834
3 201327
4 201426
5 201222
6 200621
7 201419
8 202014
9 200910
10 20209
11
A global uniqueness result for an evolution problem arising in superconductivity
20098
12 20127
13 20117
14 20176
15 20146
16 20215
17 20225
18 20185
19 20165
20 20204

About Edoardo Mainini

Edoardo Mainini is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Materials Chemistry, Organic Chemistry and Mathematical Physics, having authored 29 papers that have together received 291 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (10 papers), Geometric Analysis and Curvature Flows (7 papers), Nonlinear Partial Differential Equations (5 papers), Fullerene Chemistry and Applications (5 papers), Carbon Nanotubes in Composites (4 papers), Stability and Controllability of Differential Equations (4 papers), Graphene research and applications (4 papers) and Mathematical Biology Tumor Growth (4 papers). The work is most often cited by research in Modeling and Simulation (75 citations), Applied Mathematics (107 citations), Mathematical Physics (71 citations), Numerical Analysis (34 citations) and Computational Theory and Mathematics (98 citations). Edoardo Mainini has collaborated with scholars based in Italy, Austria and United Kingdom. Frequent co-authors include Ulisse Stefanelli, José A. Carrillo, Luigi Ambrosio, Sylvia Serfaty, Danilo Percivale, Bruno Volzone, Stefano Lisini, Franca Hoffmann, Vladimir V. Chepyzhov and Vittorino Pata. Their work appears in journals such as Communications in Mathematical Physics, Nonlinear Differential Equations and Applications NoDEA, Zeitschrift für angewandte Mathematik und Physik, ESAIM Control Optimisation and Calculus of Variations and Journal of Nonlinear Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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